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2024-25 Fall and Winter Sessional Lecturer Positions

3 months ago


Mississauga, Canada University of Toronto Full time

Institute of Communication, Culture Information, and Technology

University of Toronto Mississauga

2024-25 Fall and Winter Sessional Lecturer Positions

EMERGENCY POSTING

Closing Date: August 21, 2024

The following Sessional Lecturer position is currently available for Fall -Winter 2024-25 session. For course description, schedule of classes, and tutorial/practical sections, see the University of Toronto, Timetable Builder at: . Faculty/Division: University of Toronto Mississauga. Fall/Winter Session (F/S). Department/Subject Area: Communication, Culture, Information & Technology.

Appointment dates are:

F Courses - September 1 to December 31, 2024

S Courses - Junuary 1 to April 30, 2025 

The ICCIT invites applications from qualified candidates who are not current University of Toronto students.

How to Apply:

1. A separate application package is required for each course. The application package for each course must include a single file in PDF format, containing the following:

Completed Unit 3 application form available online here:

2. Cover Letter,

3. Curriculum Vitae.

Please submit your application package to: ICCIT Director, at: . 

Salary:

Sessional Lecturer I: $9,457.90 inclusive of 4% vacation pay (0.5 FCE)

Sessional Lecturer I Long Term: $9,930.79 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer II: $10,121.76inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer II Long Term: $10,326.61 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer III: $10,362.76 inclusive of 6% vacation pay (0.5 FCE)

Sessional Lecturer III Long Term: $10,570.01 inclusive of 6% vacation pay (0.5 FCE)

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Duties

All normal duties related to the design, administration, and teaching of a university credit course, including preparation and delivery of course content; supervision of teaching assistants assigned to the course, if applicable; development, administration and marking of assignments, tests and exams; calculations and submission of grades to university officials; holding regular office hours, and maintaining reasonable availability for student contact. The mode of instruction for the course is in-person. Candidates are required to travel to UTM to carry out duties.

Notices and job ads are located on:

ICCIT Work with us Website at:

University of Toronto - CUPE 3902 Local Unit 3 Opportunities - Emergency Posting: 

CCT334H5F History and Theory of Game Production
This course will examine the principles, theory and practice behind the production of games. By examining the history and contributions of early founders such as Atari and Activision, all the way to present-day leaders such as Electronic Arts and Sony, students will gain an understanding of how the global video game industry operates. The lectures and practical work will foster an approach to the understanding of game production issues including technology, law, marketplace and audience demand.
September - December 2024 (actual work may extend into January 2025)
Mondays 5pm-8pm (day/time subject to change)
Anticipated Enrolment: 80
Estimated TA Support: 74 hours 
Qualifications: Demonstrated excellence in teaching. Must have completed a graduate degree specific to the subject matter. Experience in teaching a similar topic at the undergraduate level is required. Experience and ability to supervisor teaching assistants are also required.

CCT416H5S Social Data Analytics
This course highlights the research in analysis for social data and builds skills to undertake those analysis. It is a lab-intensive course intended to build up data analytic skills for novice and intermediate researchers. Students look at recent studies using "big data" which are primarily theoretical, including critiques of data analytics and concerns surrounding data ethics. Students learn a programming language -- Python -- and how to scrape social data, store and collect it, run basic statistics, generate visuals, and create a report based on a project of interest.
January - April 2025 (actual work may extend into April 2025)
PRA0101 Tuesdays 6pm-8pm (day/time subject to change)
Anticipated Enrolment: 59
Estimated Total TA Support: 69 hours
Qualifications: Demonstrated excellence in teaching. Must have completed a graduate degree specific to the subject matter. Experience in teaching a similar topic at the undergraduate level is required. Experience and ability to supervisor teaching assistants are also required.

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All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.